In this study design information was separately defined form general product information and thus factors reflected in product design ion the basis of values and roles were extracted. The following is a classification of 5 different types of design factors divided according to their disposition. ·Innovation factor - element which previously did not exist or element related with explicit reformation ·Open factor - active element which not only improves current performance but also induces new functions through understanding of usage situations and new possibilities. ·Anterior factor - element which prolongs and develops the early development requirements of products through C.I. and P.I. related elements and characteristics of previous models and design strategy. Self-evidence factor - element related with function visualization through product structure which may make possible the consolidation of shape and function. Rigid factor - element, based on the human factors engineering, related with the safety and efficiency of users. This classification was obtained by defining major characteristics of products considering the target consumer and market characteristics. In this classification factor structuring design process which efficiently deducted a differentiated final product by synthesizing factors of higher importance as dominant factors was proposed. With this kind of factor structuring process, product differentiation may be achieved by bestowing individual characteristics to each product by combining design dominant factors associated with the product for a specific purpose from the stages of product concept development. Moreover, this may be used as an approach to actively correspond to the various and specific demands of the comsumer.
Human chorionic gonadotropin (hCG) is a member of the glycoprotein hormone family which includes FSH, hCG, TSH. These hormone family is characterized by a heterodimeric structure composed a common $\alpha$-subunit noncovalently linked to a hormone specific $\beta$-subunit. The correct conformation of the heterodimer is also important for efficient secretion, hormone-specific post-translational modifications, receptor binding and signal transduciton. To determine $\alpha$ and $\beta$-subunits can be synthesized as a single polypeptide chain (tethered-hCG) and also display biological activity, the tethered-hCG molecule by fusing the carboxyl terminus of the hCG $\beta$-subunit to the amino terminus of the $\alpha$-subunit was constructed and transfected into chinese hamster ovary (CHO-K1) cells. We also constructed C-terminal deletion mutants (D9l, D89, D88, D87, D86, D84, D83) of single chain hCG to determine the biological function (secretion, LH-activity, receptor binding, cAMP production) of these mutants. Between six and eight stably transfected pools of cells expressing wild type and mutant hCGs were selected for neomycin resistant. The hCGs secreted by the stably transfected cells into serum-free media were collected and quantified by radioimmunoassay, as described in protocol (DPC(hCG IRMA). LH activity was in terms of testosterone production and aromatase activity in primary cultured rat Leydig cells. The tethered-wthCG was efficiently secreted and showed similar LH-like activity to the dimeric hCG. The D83hCG mutant was not detected in this assay. It is suggest that hCG C-terminal part is very important for hCG secretion. Now, we checking the LH-like activity of these mutant hCGs. These data indicate that the constructs of tethered molecule will be useful in the study of mutants that affect subunit association and/or secretion.
Lately due to the sudden growth of the construction of an apartment complex in domestic market, many construction companies are eager to provide various public facilities to increase the apartment distribution rate. An introduction of a fitness center is popularized as a part of such development. There has been a continuing development in a private fitness based on analyzing the user's data. However a public fitness is quite different from the private in terms of a user's classification, preference rate, the pattern of use, and location which requires a different facility plan. Nevertheless, all these days a public fitness in an apartment house has been developed without a specific facility plan based on relevant materials. It is worried that such development would cause the facilities not to function as appropriate resident facilities and sink to idle ones. Therefore the purpose of this paper is to make the standard considered in facility planning in future and the base to guide an applying method. In the paper the present condition of fitness centers inside apartment houses has been compared to analyze the progress of the existing facilities and the appropriateness of the organization and the structure division. The result of the research shows that public resident facilities is not the place to perform passive role for fixed activities but one to form a community through the human relationship based on the facility. Therefore a fitness center inside the apartment complex have to be designed to provide service and leisure space as one of main community facilities for residents. To obtain this purpose, when choosing facilities of an apartment complex, first of all the residents' standard of living, apartment size, residents' distinction rate of age and sex, the needs of the times should be fully considered Secondly, the size of each facility space have to be decided based on the practical data analysis in facility use such as space preference, average staying time. Also, future living culture requires the change of the function and space according to the change of social values, so continuing research and data analysis are required to related to fitness center inside an apartment complex in order to present systematic approaching method and the paper will be expected to be a little step toward it.
Transposable elements (TEs) occupy approximately 45% of the human genome and can enter functional genes randomly. During evolutionary radiation, multiple copies of TEs are produced by duplication events. Those elements contribute to biodiversity and phylogenomics. Most of them are controlled by epigenetic regulation, such as methylation or acetylation. Every species contains their own specific mobile elements, and they are divided into DNA transposons and retrotransposons. Retrotransposons can be divided by the presence of a long terminal repeat (LTR). They show various biological functions, such as promoter, enhancer, exonization, rearrangement, and alternative splicing. Also, they are strongly implicated to genomic instability, causing various diseases. Therefore, they could be used as biomarkers for the diagnosis and prognosis of diseases such as cancers. Recently, it was found that TEs could produce miRNAs, which play roles in gene inhibition through mRNA cleavage or translational repression, binding seed regions of target genes. Studies of TE-derived miRNAs offer a potential for the expression of functional genes. Comparative analyses of different types of miRNAs in various species and tissues could be of interest in the fields of evolution and phylogeny. Those events allow us to understand the importance of TEs in relation to biological roles and various diseases.
Kim, Hoi-Jun;Lee, Sang-Hun;Han, Hyun Ho;Kim, Jin-Soo
Journal of the Korea Convergence Society
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v.11
no.12
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pp.39-47
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2020
In this paper, we proposed a deep learning-based detection method using Saliency Attention to detect salient objects in images. The salient object detection separates the object where the human eye is focused from the background, and determines the highly relevant part of the image. It is usefully used in various fields such as object tracking, detection, and recognition. Existing deep learning-based methods are mostly Autoencoder structures, and many feature losses occur in encoders that compress and extract features and decoders that decompress and extend the extracted features. These losses cause the salient object area to be lost or detect the background as an object. In the proposed method, Saliency Attention is proposed to reduce the feature loss and suppress the background region in the Autoencoder structure. The influence of the feature values was determined using the ELU activation function, and Attention was performed on the feature values in the normalized negative and positive regions, respectively. Through this Attention method, the background area was suppressed and the projected object area was emphasized. Experimental results showed improved detection results compared to existing deep learning methods.
According to the result about 'San Jiao(三焦)'recorded on "Yellow Empero's Canon Internal Medicine Ling Shu(黃帝內經 靈樞)", we achieved following results. 1. As we consider the concept of 'San Jiao' recorded on "Ling Shu", in early time, it was related to bladder(膀胱) and there was no divided concept into 'Shang Jiao(上焦)', 'Zhong Jiao(中焦)' and 'Xia Jiao(下焦)'. Later, there was appearance of body metabolism concept in anatomic way and started to emphasize that stomach(胃) is the very beginning of digestion. This point then adjusted into the concept which the core theory of digestion and water metabolism begins with 'Zhong Jiao' and processes to 'Shang Jiao' and 'Xia Jiao' then it established the 'San Jiao' theory adjusted to the functional change than property change. Later as there is set theoretical structure of 'three Yin and three Yang(三陰三陽)', it included the concept of 'San Jiao' onto meridian system theory to complete as a theory. Finally, it completed the theoretical structure that 'San Jiao' runs water metabolism of circulation, body fluid and urine for body to produce blood and Qi to protect and provide nutrition to the human body. 2. From the point of each part, 'San Jiao' means all body composition factor related to the relation to the digestion and water metabolism to produce Qi and blood. Also, the details of entire function of 'San Jiao' tells that 'Zhong Jiao' intakes food and divides the clarity and turbidity of digested substances. The origin of this digestion and water metabolism lies at Xia Jiao. The clean substance including the mood and taste climbs via Shang Jiao. The vapor like substance climbed to Shang Jiao becomes 'defensive Qi(衛氣)' and controls body temperature and sweat by supporting and spreading the Qi by Shang Jiao. The liquid substance climbed to Shang Jiao becomes blood. The blood has stronger character as substance than defensive Qi so Zhong Jiao becomes the base and the way for the blood. The turbid Qi separated at Zhong Jiao passes large intestine and the solid substance is excreted and the liquid is absorbed into bladder. The Xia Jiao that controls this process controls the liquid state of water matabolism so control the urine with bladder. Therefore, 'San Jiao' can be understood as a general concept that controls entire water metabolism as a way of food, Qi and blood.
Max Weber claimed that the clans as a self-sufficient community in traditional China had limited market development. His statement can be applied to the lineage groups of $Chos{\breve{o}}n$ dynasty, however, it also could be criticized as an example of oversimplifying clans. Starting from this question, in this article, I examined the lineage movement of the P'ap'yong Yun's Nojongp'a branch. Through this research, I tried to investigate the reality of the lineage group communities of $Chos{\breve{o}}n$. My issues are following. First, the Nojongp'a clan promoted the solidarity movement of their lineage in the name of practicing human morality, which belonged to their family learning. Second, the Nojongp'a clan made preparations for their own 'righteous rice fields and grains', through which they tried to establish the base structure for the clan activities. This, however, had its own limitations in aiding the starved suffering from famines and did not last long. Third, the lineage could not function as a community for living that was actively involved in the reproduction of life, and was not an exclusive self-sufficient community, either.
The melanin-concentrating hormone (MCH), a cyclic hypothalamic peptide composed of 17 amino acids, was initially identified in chum salmon (Oncorhynchus keta) as a regulator of pigmentation. Mammalian MCHs are cyclic hypothalamic peptides composed of 19 amino acids that regulate food intake and energy homeostasis. The present study examined not only MCH expression of different tissues but also the melanohore aggregation and intracellular $Ca^{2+}$ influx of fMCH and the other MCH. Real-time qPCR showed that MCH expressed specially in the brain, gonad, and ovary, and expression of MCH was observed during the developmental stages. In the application of synthetic fMCH and both types of synthetic fMCH, dN-fMCH and dC-fMCH, scale melanophore induced significant changes in aggregation activity with various concentrations of MCH. Also, compared to hMCH and sMCH, fMCH exhibited a 36~99.85% increase in relative potency (%), whereas aggregation of dN-fMCH and dC-fMCH remained in a high concentration. However, dispersion was induced rapidly according to be low concentration of dN-fMCH and dC-fMCH. We show that fMCH and its derivates were bound human MCHR1 and rat MCHR expressed in HEK293T cells with nano-molar affinity and are likely to be ligand-induced to mobilize intracellular $Ca^{2+}$. These results may provide new ligands for binding assay with MCHew ligands, as a structure similar to the mammalian MCH structure was discovered in fish. Once the fMCH receptor system is in place, it can be compared to the MCH system of mammals in terms of MCH function.
Journal of the Korea institute for structural maintenance and inspection
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v.26
no.2
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pp.28-36
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2022
As port structures are exposed to various extreme external loads such as wind (typhoons), sea waves, or collision with ships; it is important to evaluate the structural safety periodically. To monitor the port structure, especially the rubber fender, a fender segmentation system using a vision sensor and deep learning method has been proposed in this study. For fender segmentation, a new deep learning network that improves the encoder-decoder framework with the receptive field block convolution module inspired by the eccentric function of the human visual system into the DenseNet format has been proposed. In order to train the network, various fender images such as BP, V, cell, cylindrical, and tire-types have been collected, and the images are augmented by applying four augmentation methods such as elastic distortion, horizontal flip, color jitter, and affine transforms. The proposed algorithm has been trained and verified with the collected various types of fender images, and the performance results showed that the system precisely segmented in real time with high IoU rate (84%) and F1 score (90%) in comparison with the conventional segmentation model, VGG16 with U-net. The trained network has been applied to the real images taken at one port in Republic of Korea, and found that the fenders are segmented with high accuracy even with a small dataset.
KSCE Journal of Civil and Environmental Engineering Research
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v.34
no.2
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pp.583-595
/
2014
Currently, Korean transportation policies are aiming for increase of safety and environment-friendly and efficient operation, by avoiding construction and expansion of roads, and upgrading road alignments and facilities. This is revealed by that there have been 22 road expansion projects (30%) and 50 road improvement projects (70%) under the 3rd Five-Year Plan for National Highways ('11~'15), while there were 53 road expansion projects (71%) and 22 road improvement projects (29%) under the 2nd Five-Year Plan for National Highways. For more effective road improvement projects, there is a need of choosing projects after an objective and scientific safety assessment of each road, and assessing safety improvement depending on projects. This study is intended to develop a model for this road safety analysis and assessment. The major objective of this study is creating a road safety analysis and assessment model appropriate for Korean society, based on the HSM (Highway Safety Manual) of the U.S. In order to build up data for model development, the sections thought to have identical geometrical structure factors in 5 lines, Cheonbuk province, were divided as homogeneous sections, and representative values of geometric structures, facilities, traffic volume, climate conditions and land usage were collected from the 1,452 sections divided. In order to build up data for model development, the sections thought to have identical geometrical structure factors in 5 lines, Cheonbuk province, were divided as homogeneous sections, and representative values of geometric structures, facilities, traffic volume, climate conditions and land usage were collected from the 1,452 sections divided. The collected data was processed correlation analysis of each road element was implemented to see which factor had a big effect on traffic accidents. On the basis of these results, then, an accident model was established as a negative binomial regression model.Using the developed model, an Crash Modification Factor (CMF) which determines accident frequency changes depending on safety performance function (SPF) predicting the number of accident occurrence through traffic volume and road section expansion, road geometric structure and traffic properties, was extracted.
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